rsimsum
rsimsum: A focused, free R package for measuring and visualising simulation-study performance. Ranked #60 of 106 in Statistical Analysis Software by our editors (3.4/10); pricing: Free plan; best for R users evaluating simulation-estimator performance.
At a glance
- Editor score3.4 / 10
- PricingFree plan
- Best forR users evaluating simulation-estimator performance
- Free planYes
- Paid fromFree
- DeploymentDesktop
- Founded2018
- Facts checked24 Sep 2026
Where it wins
- Computes bias, error, coverage, power, and Monte Carlo standard errors
- Summarises multiple estimands with multisimsum
- Offers forest, zipper, ridgeline, heat, and other plots
Where it doesn't
- Specialised for simulation studies rather than general statistical analysis
- Used within R, not as a standalone desktop application
- Documentation is the listed support channel
Our verdict on rsimsum
rsimsum is an open-source R package for researchers and analysts who need to summarise and report statistical simulation studies. It is intended for comparing methods, estimands, and data-generating scenarios, with desktop deployment across Linux, macOS, and Windows. Because it is an R package rather than a standalone application, it fits workflows built around R scripting and reproducible analysis.
Its main strength is the breadth of simulation-performance measures in one focused toolkit. rsimsum computes bias, relative bias, empirical standard error, mean squared error, model-based standard errors, and relative error in those standard errors. It also calculates confidence-interval coverage, bias-eliminated coverage, and power to reject a null hypothesis. Monte Carlo standard errors are available for estimated quantities, helping users quantify simulation uncertainty. The multisimsum function summarises multiple estimands, while forest, lolly, zipper, scatter, Bland–Altman, ridgeline, and heat plots support visual comparison.
The free, open-source pricing model makes rsimsum practical for individual researchers and teams that already work in R. Its scope is deliberately narrow: the package reports simulation-study power and performance measures rather than providing a general-purpose suite of statistical tests or regression models. Buyers seeking broad statistical modelling, a graphical standalone interface, or capabilities beyond simulation-result reporting should choose a more comprehensive analysis product. Choose rsimsum when estimator evaluation and simulation summaries are the central requirement, and when documentation-led support is appropriate.
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rsimsum pricing
rsimsum fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Desktop |
| Statistical tests | Yes |
| Regression models | No |
| Scripting support | Yes |
| Bayesian analysis | Not verified |
| Data import formats | Not verified |
| Deployment | Desktop |
| Platforms | Linux, macOS, Windows |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | ellessenne.github.io |
| Facts checked | 24 Sep 2026 |
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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